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Data Analyst (Lippo Mall Head Office)

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Onsite

Data Analyst (Lippo Mall Head Office)

PT Lippo Malls Indonesia

Data Analyst (Lippo Mall Head Office)

Skills

SQL QueriesTableauData MiningData VisualizationData AnalysisMachine LearningAIPower BI

2 months ago

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Important information


Contract type:

Permanent

Location:

Jakarta, Indonesia

Work mode:

Onsite

Published on:

20 August 2026

What they need


  • Conduct detailed quantitative and qualitative analysis to identify trends, patterns, and insights from internal and external datasets, to utilize advanced analytical techniques to support business objectives.
  • Coordinate with data engineer for prepare, clean, and transform data sets for analysis, ensuring accuracy and reliability.
  • Assist in developing and applying segmentation methods, testing alternative quantitative methodologies, and conducting data-driven research.
  • Work closely with the Data Analyst Manager and cross-functional teams to support data-driven decision-making processes.
  • Ensure data integrity, consistency, and accuracy in reporting and analysis. Regularly review data for errors and discrepancies.
  • Identify and suggest improvements for data intake, validation, mining, and reporting processes to increase efficiency.
  • Support the development and enhancement of data models and predictive models, leveraging different data platforms and tools as required.
  • Assist in identifying and evaluating new data sources, tools, and techniques to improve the quality and depth of analysis.

Job Requirement:

  • Bachelor’s degree in Statistic, Math, Computer Science, Informatics, or relevant field.
  • 3+ years of work experience in data analysis, business analysis, or a related role.
  • Strong analytical skills with the ability to interpret complex data and provide actionable insights.
  • Proficiency in using data visualization tools like Tableau or Power BI and advanced knowledge of Excel.
  • Detail-oriented with strong problem-solving skills and the ability to work independently and as part of a team.
  • Knowledge of basic statistical methods and predictive modeling techniques.
  • Experience in using SQL for data extraction, manipulation, and analysis.
  • Experience with data cleaning and transformation processes.
  • Detail-oriented with strong problem-solving skills and the ability to work independently and as part of a team.
  • Experience or exposure to ML/AI is a plus.

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